What If the AI Bubble Bursts?

Dear Will & AiME,

We're investing significant time and money in AI integrations across our company, from customer support automation to internal R&D accelerators. But I just read the Bank of England is warning that AI stocks are in bubble territory. I'm not worried AI is going away, but I do wonder what the ripple effects could be if there's a crash. What should we be thinking about to protect what we've built?

— Strategy Lead in Minneapolis

Short answer 💡

A potential AI market correction won’t eliminate AI, but it will expose weak investments and reward disciplined strategies. Businesses should focus on ROI-driven use cases, reduce vendor risk, and build durable capabilities that hold value through market cycles.

Dear Strategy Lead in Minneapolis,

The Bank of England recently compared AI valuations to the dotcom bubble, suggesting that current market expectations may be outpacing the technology's near-term reality. While AI is transformative, companies that are best prepared for a potential market correction are those implementing AI with clear, disciplined strategies. Let's break it down:

What Are Experts Saying About the AI Bubble?

• In early December, the Bank of England warned that AI stocks are now showing bubble‑like traits: inflated valuations, concentration in a few firms, and debt‑fueled infrastructure spending.

• Analysts and economists have echoed the concern, pointing to overinvestment, vague business models, and frothy private-market pricing.

• Some institutional investors are quietly reducing exposure to AI‑heavy holdings, signaling a more cautious outlook moving into 2026.

I view this as the reality of a market cycle. But a cycle doesn't make the underlying tech disappear. It just raises the bar for what "worthwhile" looks like.

What a Market Correction Could Mean for Your Business

Let's say the bubble pops, or at least deflates. The following are likely:

• Funding will tighten: AI startups and tools relying on VC rounds may cut features, pivot, or fold.

• Tech vendor consolidation: Smaller players may be acquired, or quietly sunset their platforms.

• Infrastructure delays: Projects requiring long-term AI buildouts or GPU-intensive training may hit the brakes.

• Investor pressure increases: If you're a public or growth-stage company, shareholders may demand actual AI performance, not just buzz.

This potential market shift doesn't mean AI is dead. It means that proof matters more than promise. Well-run businesses that plan ahead can take advantage of the shifting landscape.

How to Prepare Without Panicking

Here are some tips on how businesses can proactively manage AI strategy in a potentially cooling market:

1. Refocus on ROI

   Double down on the use cases that save time, cut costs, or open real revenue, not just cool demos. If you can tie the value of your AI investment to a balance sheet, you're in good shape.

2. Avoid Lock-In or Overcommitment

   Watch for long-term or exclusive agreements with tools or vendors that may not survive a shakeout. Look for modularity, APIs, and clear exit ramps.

3. Audit Your AI Vendor Stack

   Who owns your data? What happens if the vendor is acquired? Do you retain rights to outputs? Build answers into your contracts now. Don't wait for market consolidation.

4. Balance Your AI Portfolio

   Keep innovating, but create room for projects with near-term payoff. Don't make AI your only bet, especially in volatile sectors like marketing automation or synthetic content.

5. Focus on Durable Capabilities

   Regardless of market conditions, investing in clean data, IP ownership, risk frameworks, and employee training will always provide long-term value.

AI isn't going away, but the hype curve may correct. The businesses that will thrive are the ones that adopt AI intentionally, ask the right legal and operational questions, and build for longevity, not buzz.

— Will & AiME

Three Takeaways

1. The AI market may be overheated, but AI itself remains a long-term tool for transformation.

2. Companies should prioritize use cases with measurable ROI and reduce exposure to speculative tools.

3. The best defense is a clear-eyed strategy—one that survives cycles and focuses on durable value.